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Found 4 papers, 0 papers with code
Data-Driven Framework for Uncovering Hidden Control Strategies in Evolutionary Analysis
We have devised a data-driven framework for uncovering hidden control strategies used by an evolutionary system described by an evolutionary probability distribution.
$C^*$-algebra Net: A New Approach Generalizing Neural Network Parameters to $C^*$-algebra
We apply our framework to practical problems such as density estimation and few-shot learning and show that our framework enables us to learn features of data even with a limited number of samples.
Impact of COVID-19 type events on the economy and climate under the stochastic DICE model
We reformulate and solve the DICE model as an optimal control dynamic programming problem with six state variables (related to the carbon concentration, temperature, and economic capital) evolving over time deterministically and affected by two controls (carbon emission mitigation rate and consumption).
Designing an Evaluation Framework for Spoken Term Detection and Spoken Document Retrieval at the NTCIR-9 SpokenDoc Task
We describe the evaluation framework for spoken document retrieval for the IR for the Spoken Documents Task, conducted in the ninth NTCIR Workshop.
